Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
Clara Hawking — Clara — your framing of governance as "a process of shared discernment" is the line I will carry from your reflection. It reframes everything. You are right to call out the speed of confident summaries. I read it on the day — Bank Holiday Monday, hottest May day in British history, dog on the balcony — and I was honest with myself: this is a first read, not a deep read. What I could do was notice what resonated. Three things did, immediately and deeply: that AI is not morally neutral, that a more moral AI is not enough if that morality is determined by a few, and that someone must always be answerable — an algorithm cannot be. Pope Leo XIV opened his encyclical with a question: are we building a new Tower of Babel, or a city where humanity can flourish together? I think that question deserves a serious answer — not from theologians alone, but from every engineer, every executive, and every board that is currently making decisions about how AI enters their organisation. Thank you for modelling what slow, serious reading looks like. I will be coming back to your reflections as mine deepen too. Magnifica Humanitas is worth reading. Whatever your faith, philosophy or practice.
LinkedIn AI Policy & Regulation Chief AI Officer by engagement | AI Systems Eng… 2026-05-26T11:0…
Coding Result
DimensionValue
Primary valueaccountability
Secondary valuebeneficence
Alignment targethumanity
Stancedemanding
Emotionapproval
Value justificationThe speaker emphasizes that 'someone must always be answerable — an algorithm cannot be', highlighting the importance of accountability in AI development.
Target justificationThe speaker suggests that the question of building a city where humanity can flourish together 'deserves a serious answer — not from theologians alone, but from every engineer, every executive, and every board', indicating a focus on the well-being of humanity as a whole.
Coded at2026-06-11T08:15:04Z
Raw LLM Response
``` { "value_primary": "accountability", "value_secondary": "beneficence", "target": "humanity", "stance": "demanding", "emotion": "approval", "value_justification": "The speaker emphasizes that 'someone must always be answerable — an algorithm cannot be', highlighting the importance of accountability in AI development.", "target_justification": "The speaker suggests that the question of building a city where humanity can flourish together 'deserves a serious answer — not from theologians alone, but from every engineer, every executive, and every board', indicating a focus on the well-being of humanity as a whole." } ```